Atlanta
Metro Power
59.6
of 100 · #30
MPI
59.6
MCC
58.2
MDI
56.2
Pillar profile
Talent51.6
Capital50.2
Research53.0
Infrastructure80.2
Agentic56.2
Indicators
- Population (m)6.2
- GDP ($bn)470
- GDP per capita ($k)75.6
- AI investment ($bn)10
- Tech employment %13
- AI talent64
- Research strength80
- Notable AI orgs20
- Compute / data centers78
- Broadband %93
- Tertiary degree %42
- Digital skills80
- Startup ecosystem66
- Agent adoption60
- Patents / 100k90
Nearest peers
- Denver58.2
- Pittsburgh58.3
- Tokyo58.9
- Ann Arbor59.0
- Zurich57.3
Metro report · generated from Atlanta's indicators
Atlanta, metro standing in full
Atlanta is the #22 metro by economic size ($470bn) in the panel and ranks #30/162 on absolute Metro Power and #28/162 on per-capita intensity. Its strongest pillar is Infrastructure (80.2, Leading); no single pillar is a binding weakness. Locally it runs below the United States national average (MCC 58.2 vs CC 86.7).
National context: United States scores CC 86.7 per-capita; Atlanta sits at MCC 58.2.
Economic & scale context ● US Census ACS-1 2022 (population); GDP curated
GDP (metro)
$470bn
#22 of 162
GDP / capita
$76k
Population
6.2M
AI investment
$10.0bn
#16 of 162
Notable AI orgs
20
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Atlanta's own standing.
| Index / pillar | Value | Standing | What a high vs low value means, and where Atlanta sits |
|---|---|---|---|
| MPI Metro Power | 59.6 | Strong · #30/162 | High here, a heavyweight hub where capital, talent and AI organizations concentrate, it can anchor an entire national AI ecosystem. ▲ high: a heavyweight hub where capital, talent and AI organizations concentrate, it can anchor an entire national AI ecosystem · ▼ low: limited absolute weight, a smaller node that leans on capacity built in larger hubs |
| MCC Metro Coefficient | 58.2 | Strong · #28/162 | High here, deep capability per resident, a concentrated, high-intensity ecosystem. ▲ high: deep capability per resident, a concentrated, high-intensity ecosystem · ▼ low: thin intensity per resident, capability is sparse relative to the population |
| MDI Metro Agentic | 56.2 | Strong · #24/162 | High here, agents are widely deployed locally, a near-term productivity multiplier. ▲ high: agents are widely deployed locally, a near-term productivity multiplier · ▼ low: agentic deployment is shallow, the local agent lever is under-used |
| Talent Talent | 51.6 | Strong · #37/162 | High here, a deep talent pool, the scarcest input to building AI. ▲ high: a deep talent pool, the scarcest input to building AI · ▼ low: a shallow talent base that constrains how much can be built locally |
| Capital Capital | 50.2 | Strong · #22/162 | High here, abundant capital flowing into building cognitive infrastructure. ▲ high: abundant capital flowing into building cognitive infrastructure · ▼ low: thin investment, good ideas struggle to scale locally |
| Research Research | 53.0 | Strong · #32/162 | High here, a strong research base feeding a pipeline of ideas and people. ▲ high: a strong research base feeding a pipeline of ideas and people · ▼ low: a weak research base, fewer home-grown breakthroughs and spinouts |
| Infrastructure Infrastructure | 80.2 | Leading · #16/162 | High here, the physical and digital rails to run AI at scale are in place. ▲ high: the physical and digital rails to run AI at scale are in place · ▼ low: infrastructure gaps cap how much AI can actually be run locally |
| Agentic Agentic | 56.2 | Strong · #24/162 | High here, agents are actively deployed, an early-mover productivity edge. ▲ high: agents are actively deployed, an early-mover productivity edge · ▼ low: little agentic deployment, the near-term lever is unused |
Strengths to build on
- Infrastructure (80.2, Leading), the physical and digital rails to run AI at scale are in place.
- Capital (50.2, Strong), abundant capital flowing into building cognitive infrastructure.
- Agentic (56.2, Strong), agents are actively deployed, an early-mover productivity edge.
Risk factors
- No acute structural gaps stand out across the metro pillars.
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Metro values are curated estimates (v1) on a consistent global scale, not yet measured sub-national data.